Mr.Xiong Yuanjun - 熊元骏

Senior Applied Scientist at Amazon Rekognition


Seattle, Washington, U.S.

yjxiong at ie.cuhk.edu.hk

Mr. Xiong Yuanjun is currently a senior applied scientist at Amazon Rekognition. He was previously a postdoctoral fellow in department of information engineering, CUHK, working closely with Prof. Lin Dahua and Prof. Tang Xiaoou. Yuanjun received his Ph.D. from the department of information engineering at CUHK in 2016 and B.Eng from department of automation at Tsinghua University in 2012. Detailed CV is also provided here.

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Publications

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool, Temporal Segment Networks for Action Recognition in Videos, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2018. [PDF]

Yue Zhao, Yuanjun Xiong, Dahua Lin, Trajectory Convolution for Action Recognition, Neural Information Processing Systems (NIPS), Montreal, Canada, 2018. [PDF][Poster]

Yue Zhao, Yuanjun Xiong, Dahua Lin, Recognizing Actions by Disentangling Components of Dynamics, Computer Vision and Pattern Recognition (CVPR), Salt Lake City, U.S., 2018. [PDF]

Zhirong Wu, Yuanjun Xiong, Stella Yu, Dahua Lin, Unsupervised Feature Learning via Non-parametric Instance-level Discrimination, Computer Vision and Pattern Recognition (CVPR), Salt Lake City, U.S., 2018. [PDF] [Code & Models]

Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong,Chen Change Loy, Dahua Lin, Optimizing Video Object Detection via a Scale-Time Lattice, Computer Vision and Pattern Recognition (CVPR), Salt Lake City, U.S., 2018. [PDF]

Sijie Yan, Yuanjun Xiong, and Dahua Lin, Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition, The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orlean, U.S., 2018. [PDF][Code & Models]

Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Dahua Lin, and Xiaoou Tang, Temporal Action Detection with Structure Segment Networks, IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017. [PDF][Code & Models][Project Page]

Limin Wang, Yuanjun Xiong, Dahua Lin, and Luc Van Gool, UntrimmedNets for Weakly Supervised Action Recognition and Detection, Computer Vision and Pattern Recognition (CVPR), Hawaii, U.S., 2017. [PDF][Code & Models]

Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao, Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs, IEEE Transactions on Image Processing (TIP), 2017. [PDF]

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool, Temporal Segment Networks: Towards Good Practices for Deep Action Recognition, European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, 2016. [PDF][Supplementary] [Code & Models][Project Page]

Yuanjun Xiong, Kai Zhu, Dahua Lin, and Xiaoou Tang, Recognize Complex Events from Static Images by Fusing Deep Channels, Computer Vision and Pattern Recognition (CVPR), Boston, U.S., 2015. [PDF][Supplementary] [Dataset]

Yuanjun Xiong, Wei Liu, Deli Zhao, and Xiaoou Tang. Zeta Hull Pursuits: Learning Nonconvex Data Hulls, Advances in Neural Information Processing System (NIPS 27), Montreal, Canada, 2014. [PDF][Supplementary]

Yuanjun Xiong, Wei Liu, Deli Zhao, and Xiaoou Tang. Face Recognition via Archetype Hull Ranking, IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013.[PDF]

Thesis

Visual Understanding by Learning from Multiple Data Aspects, Yuanjun Xiong, PhD Thesis, The Chinese University of Hong Kong, 2016.

Courses and Projects

CSCI5280 Image Processing and Computer Vision

Teaching

ENGG-1100 Introduction to Engineering Design - Teaching Assistant

Yuanjun's Blog

Yuanjun is now running a blog recording his research and life stuffs.

bitxiong(吐露山熊)

Other Links

Yuanjun's Github

Technical Resources

MMLAB 香港中文大學多媒體實驗室

The Chinese University of Hong Kong 香港中文大學

Last modified: Nov. 2016.

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